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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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Automatic Feature Segmentation in Dental Periapical Radiographs.

Tugba Ari1, Hande Sağlam1, Hasan Öksüzoğlu1

  • 1Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, 26040 Eskişehir, Turkey.

Diagnostics (Basel, Switzerland)
|December 23, 2022
PubMed
Summary

Artificial Intelligence (AI) algorithms, specifically Convolutional Neural Networks (CNNs), show high accuracy in segmenting dental structures and pathologies on periapical radiographs. This demonstrates AI

Keywords:
artificial intelligencedeep learningoral diseasesoral findingsperiapical radiographs

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Area of Science:

  • Radiology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Digital imaging facilitates data availability for AI in radiology.
  • AI algorithms are increasingly utilized for disease detection.

Purpose of the Study:

  • To diagnostically evaluate AI models based on Convolutional Neural Networks (CNNs) for periapical radiographs.
  • To assess the performance of deep learning in segmenting dental structures and pathologies.

Main Methods:

  • Utilized a dataset of 1169 adult periapical radiographs.
  • Employed the U-Net deep learning model implemented with the PyTorch library for image annotation and analysis.
  • Performed segmentation of carious lesions, crowns, dental pulp, dental fillings, periapical lesions, and root canal fillings.

Main Results:

  • AI models significantly improved segmentation success rates for all evaluated dental features.
  • Achieved high sensitivity, precision, and F1 scores across various structures, including carious lesions (0.82), crowns (1.00), dental pulp (0.97), fillings (0.95), periapical lesions (0.92), and root canal fillings (1.00).

Conclusions:

  • AI algorithms demonstrate encouraging and promising success in evaluating periapical radiographs.
  • These findings support the potential integration of AI as a clinical decision support system in routine dental practice.